Search Results for author: Brice Videau

Found 2 papers, 2 papers with code

Transfer-Learning-Based Autotuning Using Gaussian Copula

2 code implementations9 Jan 2024 Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul Hovland, Mary Hall, Rong Ge, Prasanna Balaprakash

We introduce the first generative TL-based autotuning approach based on the Gaussian copula (GC) to model the high-performing regions of the search space from prior data and then generate high-performing configurations for new tasks.

Transfer Learning

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales

1 code implementation28 Mar 2023 Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary Hall

As we enter the exascale computing era, efficiently utilizing power and optimizing the performance of scientific applications under power and energy constraints has become critical and challenging.

Bayesian Optimization

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